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Fast signal sinc-interpolation methods for signal and image resampling
L. Yaroslavsky
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Corresponding author for this work
Engineering General
Research output
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Contribution to journal
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Conference article
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peer-review
14
Scopus citations
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Dive into the research topics of 'Fast signal sinc-interpolation methods for signal and image resampling'. Together they form a unique fingerprint.
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Keyphrases
Interpolation Method
100%
Fast Signal
100%
Image Resampling
100%
Sinc Interpolation
100%
Signal Resampling
100%
Sliding Window
50%
Boundary Effect
33%
Interpolation Kernel
33%
Sine Interpolation
33%
Computational Complexity
16%
Super-resolution
16%
Signal Processing Applications
16%
Digital Signal Processing
16%
Computationally Efficient
16%
Signal Spectrum
16%
Resampling Methods
16%
Window Size
16%
Image Processing Applications
16%
Digital Signal
16%
Digital Image Processing
16%
Sinc Function
16%
Interpolation Accuracy
16%
DCT Domain
16%
Local Adaptive
16%
Discrete Signals
16%
Digital Convolution
16%
Adaptive Interpolation
16%
Zero-padding Method
16%
Signal Interpolation
16%
Kernel Design
16%
Frame Interpolation
16%
Adaptive Signal Denoising
16%
Mathematics
Convolution
100%
Processing Application
100%
Image Processing
100%
Resampling Method
100%
Discrete Signal
100%
Sinc Function
100%
Signal Processing
100%
Discrete Cosine Transform
100%
Computer Science
Sinc Interpolation
100%
Sliding Window
50%
Boundary Effect
33%
Digital Signal Processing
16%
Computational Complexity
16%
super resolution
16%
Image Processing
16%
Signal Denoising
16%
Digital Signal
16%
Discrete Signal
16%
Signal Interpolation
16%
Discrete Cosine Transform
16%
Engineering
Sinc Interpolation
100%
Boundary Effect
33%
Output Sample
33%
Image Processing
16%
Computational Complexity
16%
Signal Spectrum
16%
Digital Signal Processing
16%
Digital Signal
16%
Sinc Function
16%
Discrete Signal
16%
Digital Convolution
16%
Padding Method
16%
Signal Interpolation
16%